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Mathematics & Optimization

16,944 papers (0 classified directly here)

Subtopics

Optimization (12,959) Mathematics (5,735) Probability (519) Statistics (265) Discrete Mathematics (15)

Papers per year

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Papers (including subtopics)

Sparsity and the Truncated $l^2$-norm AISTATS 2014
Approximate Slice Sampling for Bayesian Posterior Inference AISTATS 2014
Sketching the Support of a Probability Measure AISTATS 2014
Non-Asymptotic Analysis of Relational Learning with One Network AISTATS 2014
Exploiting the Limits of Structure Learning via Inherent Symmetry AISTATS 2014
A Statistical Model for Event Sequence Data AISTATS 2014
Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics AISTATS 2014
On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning AISTATS 2014
Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors AISTATS 2014
Global Optimization Methods for Extended Fisher Discriminant Analysis AISTATS 2014
A Level-set Hit-and-run Sampler for Quasi-Concave Distributions AISTATS 2014
New Bounds on Compressive Linear Least Squares Regression AISTATS 2014
Recovering Distributions from Gaussian RKHS Embeddings AISTATS 2014
Algebraic Reconstruction Bounds and Explicit Inversion for Phase Retrieval at the Identifiability Threshold AISTATS 2014
Low-Rank Spectral Learning AISTATS 2014
Towards building a Crowd-Sourced Sky Map AISTATS 2014
Jointly Informative Feature Selection AISTATS 2014
Efficient Lifting of MAP LP Relaxations Using k-Locality AISTATS 2014
A Geometric Algorithm for Scalable Multiple Kernel Learning AISTATS 2014
Joint Structure Learning of Multiple Non-Exchangeable Networks AISTATS 2014
FuSSO: Functional Shrinkage and Selection Operator AISTATS 2014
Spoofing Large Probability Mass Functions to Improve Sampling Times and Reduce Memory Costs AISTATS 2014
Learning Bounded Tree-width Bayesian Networks using Integer Linear Programming AISTATS 2014
An inclusion optimal algorithm for chain graph structure learning AISTATS 2014
A Stepwise uncertainty reduction approach to constrained global optimization AISTATS 2014